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novel and uncharacterized pathogens, confirming and characterizing novel agents, evaluating candidate biocontrol compounds, and assessing pathogen impacts on colony health indicators. Learning Objectives
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of the salmon feed. Determining the protein and lipid content, and fatty acid and amino acid profiles of potential ingredients is an important component for evaluation. This experience will enable you to learn
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to inform public health messaging across the lifespan. The learning experience may include participation in qualitative and quantitative research activities related to knowledge, attitudes, practices, and
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mentorship, you will engage in experiential learning across germplasm evaluation and data collection aligned to disease-resistance objectives. Learning Objectives: Under the guidance of a mentor, you will have
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. Learning Objectives: During the appointment, you will; Learn about food safety research related to contamination of food by bacterial pathogens. Gain exposure to research areas including stress response
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of fresh fruits. The fellowship has two primary learning experiences. You will examine the susceptibility of table grape breeding lines to gray mold caused by Botrytis cinerea, including developing and
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AIV infection. Learning Objectives: You will learn methods for analysis of plasma-based biomarkers of avian health and will gain experience with analysis of samples and the collected data. You will also
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the United States. These research activities contribute to CDC's efforts to better understand the burden of CKD and inform public health strategies to improve prevention and outcomes. Learning Objectives: You will
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data collection with quantitative statistical and modeling analyses and are collaborations with natural resource managers, veterinarians, and academics. You will learn to develop and conduct research
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for respiratory virus genomics; Final projects will be developed jointly by the mentor and fellow. Learning Objectives: During the fellowship, you will learn to: Apply bioinformatics and data science methods